Auto summarization of content

ABSTRACT

A method of summarizing data files includes implementing, at a server, a storage event for a data file, analyzing the data file and creating a summary of the data file, and storing the summary linked to the data file.

TECHNICAL FIELD

The present invention is related generally to the storage and summarization of data file contents, and more particularly to systems and methods of summarizing the content of data files through implementation of fuzzy logic analysis techniques.

BACKGROUND OF THE INVENTION

In recent years, many enterprises, whether business, governmental, or any other organized undertaking, require large amounts of information to be analyzed and available for use in the daily execution of their activities. Often the informational needs of the enterprise can take the form of documents being used daily and other information that may not have been accessed in weeks, months, or years, and may only exist in archive.

The growth of “paperless” offices has dramatically increased the scale at which digital information is being stored as the only version of certain data. With a vast sea of accessible data files available on a company's server, conventional Information Retrieval (IR) technologies have become more and more insufficient to find relevant information effectively. It is quite common that a keyword-based search on the company file storage system may return hundreds (or even thousands) of hits, by which the user is often overwhelmed. There is an increasing need for new technologies that may assist users in sifting through vast volumes of information, and which may quickly identify the most relevant data files.

Traditional search engines accept a search query from a user, search every data file, and generate a list of search results. The user typically views one or two of the results and then discards the results. However, some queries may also return summaries which greatly facilitate the task of finding the desired information in the data file. Typically, these “summaries” are just the 10 or 20 words surrounding the sought-for keyword and have no bearing on the context of the data file as a whole. Also, a query-based summarization system may have steep requirements in terms of transmission bandwidth, data storage, processor utilization, and time to return a result.

Hence a need exists for a way to expedite searching for data files and provide a summary more reflective of the data file it is taken from.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawing figures depict one or more implementations in accord with the present teachings, by way of example only, not by way of limitation. In the figures, like reference numerals refer to the same or similar elements.

FIG. 1 is a block diagram of a system for performing storage and summary operations on electronic data in a computer network in accordance with certain aspects of the present invention;

FIG. 2 is a block diagram of a data file in accordance with certain aspects of the present invention;

FIG. 3 illustrates an example of a summary in accordance with certain aspects of the present invention;

FIG. 4 illustrates a flow char of an example of a method of summarizing data files.

FIG. 5 illustrates a flow chart of an example of searching using summaries.

DETAILED DESCRIPTION

In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant teachings. However, it should be apparent to those skilled in the art that the present teachings may be practiced without such details. In other instances, well known methods, procedures, components, and/or circuitry have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the present teachings.

The various examples disclosed herein relate to data file storage and summarization.

Reference now is made in detail to the examples illustrated in the accompanying drawings and discussed below. FIG. 1 illustrates exemplary aspects and features of the present invention. FIG. 1 is a block diagram of a storage operation cell 50 that may perform storage and summary operations on electronic data in a computer network in accordance with an example as illustrated. As shown, a storage operation cell 50 may generally include a storage manager 100, a data agent 95, a media agent 105, a storage device 115, a client computer 85, and a data or information store 90. The storage operation cell 50 may also include certain other components such as databases 110, 111, a jobs agent 120, an interface module 125, a management agent 130, and a summary agent 133. The cell 50 may also include a summarizer 160 and a summation store 190.

Portions of such a system and elements thereof are exemplary of a modular storage management systems such as the CommVault QiNetix™ system, and also the CommVault GALAXY® backup system, available from CommVault Systems, Inc. of Oceanport, N.J., and further described in U.S. Pat. No. 7,035,880, which is incorporated herein by reference in its entirety.

A storage operation cell, such as cell 50, may generally include combinations of hardware and software components associated with performing storage operations on electronic data. Exemplary storage operation cells according to aspects of the invention can include CommCells as embodied in the QNet storage management system and the QiNetix storage management system by CommVault Systems of Oceanport, N.J. According to some aspects of the invention, storage operations cell 50 can be related to backup cells and provide some or all of the functionality of backup cells as described in U.S. Pat. No. 7,454,566 which is hereby incorporated by reference in its entirety.

Storage operations performed by storage operation cell 50 may include at least one of creating, storing, retrieving, synchronizing and migrating primary data copies and secondary data copies (which may include, for example, snapshot copies, backup copies, Hierarchical Storage Management (“HSM”) copies, archive copies, and other types of copies of electronic data). Storage operation cell 50 may also provide one or more integrated management consoles for users or system processes to interface with in order to perform certain storage operations on electronic data as further described herein. Such integrated management consoles may be displayed at a central control facility or several similar consoles distributed throughout multiple network locations to provide global or geographically specific network data storage information. The use of integrated management consoles may provide a unified view of the data operations across the network.

In addition to the integrated management consoles that allow an interface for at least one or more server side components 150, the client devices 85 may include a similar management console, in either form or function.

A unified view of the data operations collected across the entire storage network may provide an advantageous benefit in the management of the network. The unified view can present the system, or system administrator with a broad view of the utilized resources of the network. Presenting such data to one centralized management console may allow for a more complete and efficient administration of the available resources of the network. The storage manager 100, either via a preconfigured policy or via a manual operation from a system administrator, may reallocate resources to more efficiently run the network. Data paths from storage operation cells may be re-routed to avoid areas of the network which are congested by taking advantage of underutilized data paths or operation cells. Additionally, should a storage operation cell arrive at or exceed a database size maximum, storage device capacity maximum or fail outright, several routes of redundancy may be triggered to ensure the data arrives at the location for which it was intended. A unified view can provide the manager with a collective status of the entire network allowing the system to adapt and reallocate the many resources of the network for faster and more efficient utilization of those resources.

In some examples, storage operations can be performed according to a storage policy. A storage policy generally can be a data structure or other information source that includes a set of preferences and other storage criteria for performing a storage operation and/or other functions that relate to storage operation. The preferences and storage criteria can include, but are not limited to, a storage location, relationships between system components, network pathway to utilize, retention policies, data characteristics, compression or encryption requirements, preferred system components to utilize in a storage operation, summarization, and other criteria relating to a storage operation.

For example, a storage policy may indicate that certain data is to be stored in a specific storage device, retained for a specified period of time before being aged to another tier of secondary storage, copied to secondary storage using a specified number of streams, etc. In one example, a storage policy may be stored in a storage manager database 111. Alternatively, certain data may be stored to archive media as metadata for use in restore operations or other storage operations. In other examples, the data may be stored to other locations or components of the system.

A schedule policy specifies when and how often to perform storage operations and may also specify performing certain storage operations (i.e. replicating certain data) on sub-clients of data including how to handle those sub-clients. A sub-client may represent static or dynamic associations of portions of data of a volume and may be generally mutually exclusive. Thus, a portion of data may be given a label and the association is stored as a static entity in an index, database or other storage location used by the system. Sub-clients may also be used as an effective administrative scheme of organizing data according to data type, department within the enterprise, storage preferences, etc. For example, an administrator may find it preferable to separate e-mail data from financial data using two different sub-clients having different storage preferences, retention criteria, etc.

Storage operation cells may contain not only physical devices, but also may represent logical concepts, organizations, and hierarchies. For example, a first storage operation cell 50 may be configured to perform HSM operations, such as data backup or other types of data migration, and may include a variety of physical components including a storage manager 100 (or management agent 130), a media agent 105, a client component 85, and other components as described herein. A second storage operation cell can contain the same or similar physical components. However, it may be configured to perform storage resource management (“SRM”) operations, such as monitoring a primary data copy or performing other known SRM operations.

In one example, a data agent 95 can be a software module or part of a software module that is generally responsible for archiving, migrating, and recovering data from client computer 85 stored in an information store 90 or other memory location. Each computer 85 has at least one data agent 95. Storage operation cell 50 can also support computers 85 having multiple clients (e.g., each computer can have multiple applications, with each application considered as either a client or sub-client).

In some examples, the data agents 95 can be distributed between client computer 85 and the storage manager 100 (and any other intermediate components (not explicitly shown)) or can be deployed from a remote location or its functions approximated by a remote process that performs some or all of the functions of the data agent 95. The data agent 95 may also generate metadata associated with the data that it is generally responsible for replicating, archiving, migrating, and recovering from client computer 85. This metadata may be appended or embedded within the client data as it is transferred to a backup or secondary storage location, such as a replication storage device, under the direction of storage manager 100.

One example may also include multiple data agents 95, each of which can be used to backup, migrate, synchronize, and recover data associated with a different application. For example, different individual data agents 95 can be designed to handle MICROSOFT EXCHANGE® data, MICROSOFT SHAREPOINT® data or other collaborative project and document management data, LOTUS NOTES® data, MICROSOFT WINDOWS 2000® file system data, MICROSOFT® Active Directory Objects data, and other types of data known in the art. Alternatively, one or more generic data agents 95 may be used to handle and process multiple data types rather than using the specialized data agents described above.

In an example utilizing a client computer 85 having two or more types of data, one data agent 95 can be used for each data type to archive, migrate, and restore the client computer 85 data. For example, to backup, migrate, synchronize, and restore all of the data on a MICROSOFT EXCHANGE 2000® server, the client computer 85 can use one MICROSOFT EXCHANGE 2000® Mailbox data agent to backup the EXCHANGE 2000® mailboxes, one MICROSOFT EXCHANGE 2000® data agent to backup the EXCHANGE 2000® databases, one MICROSOFT EXCHANGE 2000®. Public Folder data agent to backup the EXCHANGE 2000® Public Folders, and one MICROSOFT WINDOWS 2000® File System data agent to backup the file system of the computer 85. These data agents 95 may be treated as four separate data agents 95 by the system even though they reside on the same client computer 85.

In an alternative example, one or more generic data agents 95 can be used, each of which can be capable of handling two or more data types. For example, one generic data agent 95 can be used to back up, migrate and restore MICROSOFT EXCHANGE 2000® Mailbox data and MICROSOFT EXCHANGE 2000® Database data while another generic data agent can handle MICROSOFT EXCHANGE 2000® Public Folder data and MICROSOFT WINDOWS 2000® File System data.

While the illustrative examples described herein detail data agents implemented, specifically or generically, for Microsoft® applications, one skilled in the art should recognize that other application types (i.e. Oracle data, SQL data, LOTUS NOTES®, etc.) can be implemented without deviating from the scope of the present invention.

In one example, the storage manager 100 may include a software module (not shown) or other application that may coordinate and control storage operations performed by storage operation cell 50. The storage manager 100 may communicate with the elements of storage operation cell 50 including computers 85, data agents 95, media agents 105, and storage devices 115.

In one aspect, the storage manager 100 may include a jobs agent 120 that monitors the status of some or all storage operations previously performed, currently being performed, or scheduled to be performed by the storage operation cell 50. The jobs agent 120 may be linked with an interface module 125 (typically a software module or application). The interface module 125 may include information processing and display software, such as a graphical user interface (“GUI”), an application program interface (“API”), or other interactive interface through which users and system processes may retrieve information about the status of storage operations. Through the interface module 125, users may optionally issue instructions to various storage operation cells 50 regarding performance of the storage operations as described and contemplated by example of the present invention. For example, a user may modify a schedule concerning the number of pending snapshot copies or other types of copies scheduled as needed to suit particular needs or requirements. As another example, a user may utilize the GUI to view the status of pending storage operations in some or all of the storage operation cells in a given network or to monitor the status of certain components in a particular storage operation cell (e.g., the amount of storage capacity left in a particular storage device). As a further example, the interface module 125 may display the cost metrics associated with a particular type of data storage and may allow a user to determine the overall and target cost metrics associated with a particular data type. This determination may also be done for specific storage operation cells 50 or any other storage operation as predefined or user-defined.

One example of the storage manager 100 may also include a management agent 130 that is typically implemented as a software module or application program. The management agent 130 may provide an interface that allows various management components in other storage operation cells 50 to communicate with one another. For example, one example of a network configuration can include multiple cells adjacent to one another or otherwise logically related in a WAN or LAN configuration (not explicitly shown). With this arrangement, each cell 50 can be connected to the other through each respective management agent 130. This allows each cell 50 to send and receive certain pertinent information from other cells including status information, routing information, information regarding capacity and utilization, etc. These communication paths can also be used to convey information and instructions regarding storage operations.

In an example, the management agent 130 in the first storage operation cell 50 may communicate with a management agent 130 in a second storage operation cell (not illustrated) regarding the status of storage operations in the second storage operation cell. Another aspect may include a first management agent 130 in a first storage operation cell 50 that may communicate with a second management agent in a second storage operation cell to control the storage manager (and other components) of the second storage operation cell via the first management agent 130 contained in the storage manager 100 of the first storage operation cell.

A further aspect may include the management agent 130 in the first storage operation cell 50 communicating directly with and controlling the components in a second storage manager 100 in the second storage management cell. In an alternative example, the storage operation cells may also be organized hierarchically such that hierarchically superior cells control or pass information to hierarchically subordinate cells or vice versa.

The storage manager 100 may also maintain, in an example, an index cache, a database, or other data structure 111. The data stored in the database 111 can be used to indicate logical associations between components of the system, user preferences, management tasks, Storage Resource Management (SRM) data, Hierarchical Storage Management (HSM) data or other useful data. The SRM data may, for example, include information that relates to monitoring the health and status of the primary copies of data (e.g., live or production line copies). HSM data may, for example, be related to information associated with migrating and storing secondary data copies including archival volumes to various storage devices in the storage system. As further described herein, some of this information may be stored in a media agent database 110 or other local data store. For example, the storage manager 100 may use data from the database 111 to track logical associations between the media agents 105 and the storage devices 115.

In one example, a media agent 105 may be implemented a software module that conveys data, as directed by the storage manager 100, between computer 85 and one or more storage devices 115 such as a tape library, a magnetic media storage device, an optical media storage device, or any other suitable storage device. Media agents 105 may be linked with and control a storage device 115 associated with a particular media agent. In some examples, a media agent 105 may be considered to be associated with a particular storage device 115 if that media agent 105 is capable of routing and storing data to particular storage device 115.

In operation, a media agent 105 may be associated with a particular storage device 115 and may instruct the storage device to use a robotic arm or other retrieval means to load or eject a certain storage media, and to subsequently archive, migrate, or restore data to or from that media. The media agents 105 may communicate with the storage device 115 via a suitable communications path such as a SCSI (Small Computer System Interface), fiber channel or wireless communications link or other network connections known in the art such as a WAN or LAN. Storage device 115 may be linked to a data agent 105 via a Storage Area Network (“SAN”).

Each media agent 105 may maintain an index cache, a database, or other data structure 110 which may store index data generated during backup, migration, synchronization, and restore and other storage operations as described herein. For example, performing storage operations on MICROSOFT EXCHANGE® data may generate index data. Such index data provides the media agent 105 or other external device with a fast and efficient mechanism for locating the data stored or backed up. In some examples, storage manager database 111 may store data associating a client computer 85 with a particular media agent 105 or storage device 115 as specified in a storage policy. The media agent database 110 can indicate where, specifically, the computer data is stored in the storage device 115, what specific files were stored, and other information associated with storage of the computer data. In some examples, such index data can be stored along with the data backed up in the storage device 115, with an additional copy of the index data written to the index cache 110. The data in the database 110 is thus readily available for use in storage operations and other activities without having to be first retrieved from the storage device 115.

In some examples, certain components may reside and execute on the same computer. For example, a client computer 85 including a data agent 95, a media agent 105, or a storage manager 100 coordinates and directs local archiving, migration, and retrieval application functions as further described in U.S. Pat. No. 7,035,880. Thus, client computer 85 may function independently or together with other similar client computers 85.

The summarizer 160, in some examples, may be included on the server side components 150. The summarizer 160, in one aspect, may review data files 10 as they are being stored through the summary agent 133. Alternately, the summarizer 160 may review data files 10 as they are copied and processed. The summary agent 133 may produce one or more summaries 170 of each of the data files 10 or group of data files 10. In one example, the summaries 170 may be stored in the summation store 190.

In another aspect, the summarizer 160 may be a stand-alone server, or farm of servers, that are tasked specifically to the summarization tasks as described below. Alternately, the summarizer 160 may be a software module that may utilize existing elements of the server side components 150 or the storage manager 100. Further, the summarizer 160 may also be a combination of hardware and software that yields the same results.

In an example, the summary agent 133 may open and review some or all data files 10 stored under the policies set by the storage manager 100. In an example process described below, the summary agent 133 may create a summary 170 condensing the data file 10 down. The condensed summary 170 may be any number of degrees “smaller” than the original data file 10. In certain aspects, the summary 170 is not a verbatim section of the original data file. For example, the summary 170 is not the first few sentences of the data file 10, or the 25 words surrounding a keyword.

The summary 170 may be one or more sentences, paragraphs or pages, depending on the length or size of the original data file 10. The length of the summary may be automatically dictated based on rules/logic, and/or the syntax of the data file. Alternately, the length may be dictated by the user. The user may select options for the length of the summary 170 based on the number of words, sentences, paragraphs, pages or an approximate percentage of the original data file 10. An example of this is a data file containing the novel “War and Peace”, which contains approximately 560,000 words. The automatic summary might condense and summarize the data file 10 to approximately 100,000 words, while a user setting of a summary that is 10% of the original may condense the data file 10 to a 50,000 word summary.

The summary 170 may then be stored in one or numerous locations. In one example, the summary 170 may be stored in the summation store 190. Here, the summaries 170 are not subject to archival and are readily retrievable. The summary 170 and the original data file 10 may be annotated with header information 210 or metadata to keep the files linked 200, in an aspect of the invention. In another example, the summaries 170 may be appended to the original data file 10 in a storage trailer 220, this summary 170 may then be archived along with the original data file 10. See, FIG. 2.

In a further example, the summaries 170 may be treated as any other file; and, once generated, may be archived by the storage manager 100. However, the summarizer 160 may be programmed with a rule not to generate a summary of the summary 170.

Furthermore, if the summaries 170 are generated only on archival, the summaries may be passed back to the computer 85 to be appended to the active data file 10, stored separately in the data store 90, or both.

The summarization process may be adapted to an existing storage system. The summarizer 160 can start by accessing some or all of the data files 10 currently residing on one or more of the storage devices 115. Here, the summary agent 133 begins the process of summarizing the data files 10. As above, the summaries 170 may be stored in at least one of the summation store 190 and with the archived copies in the storage device 115.

For the new data files 10 that may be generated on the computer/client device 85 the files can be summarized in a number of different examples. In one example, the data files 10 may be summarized during a storage procedure. Here, the summarizer 160/summary agent 133 may act in concert with the actions performed on the data files 10 in the storage device 115. As the data files 10 are transferred off the computer 85 and into the storage system, the data files 10 can be opened, summarized, appended and stored in the appropriate storage device 115 as dictated by the policy. The summaries 170 or at least links to the summaries 170 may be appended in or with the storage header 210 or trailer 220.

Alternately, there may be a data summary policy, with the summarizer 160 creating summaries 170 only at specific intervals, which may or may not coincide with the backup storage policy.

In an alternate example, as data files 10 are created and/or modified on the computer 85, a summary agent 133 may be present on the computer 85 to create/update a summary 170 in real-time or at a specific interval. For example, as a Word® document is being authored, the summary agent 133 is aware of creation/modification. Once the document is saved or exited out of, the summary agent 133 may begin the summarization process. Alternately, the summary agent 133 may be programmed to begin the summarization process after a certain time (e.g. midnight) or in preparation for a scheduled policy storage event procedure (e.g. backup or synchronization). In relation to the storage event procedure, the computer summary agent 133 may summarize the data file 10 as part of the storage event procedure, summarizing the data file 10 prior to releasing it to the storage manager 100.

Further, the summary agent 133 may be scheduled to summarize some or all of the files in advance of the storage event. For example, the summary procedure may begin at 11:00 pm for a storage event scheduled to start at midnight. When the summary agent 133 performs the summary, the summary 170 may be separately transmitted to the summation store 190 before, during, or after the transmission of the related data file to the storage manager 100 for the storage event. The computer 85 generated summaries 170 may be stored on the local data store 90 temporarily or permanently. Temporary storage may include the summaries 170 being stored until the next storage event or being held in summary 170 for a specific period of time. Permanent storage may include the summaries 170 being held until the underlying data file 10 is deleted or removed from the computer 85.

In relation to a search, there are numerous examples of how to utilize the summaries 170. In one aspect, the data files 10 are conventionally searched, and instead of the data files 10, the summaries 170 of the relevant hits may be returned. The actual data file 10 may also be returned with the summary 170. If the summary 170 is produced in lieu of the data file 10, the summary 170 may be further accessed to retrieve the actual data file 10.

In an alternate example, when a search is initiated, only the summaries 170 may be searched. An independent search engine (not illustrated) may be directed to search the summaries 170. In some examples, the summary agent 133 may act as a search engine and may review the summaries 170 for the relevant results. This may be facilitated if some or all of the summaries 170 are stored in one location, e.g. the summation store 190, which allows faster access. For those files local on the computer 85 that may not have been summarized, or their summaries 170 updated, they may be searched using the data file 10 or the summaries 170 may be completed on-the-fly by either the local or system summary agent 133, and the resulting summary 170 may be searched.

The search, summarization and storage policies may also act in concert. For an important set of data files 10, the summarization and/or storage windows may be set based on subject matter instead of, for example, file path or time. In an aspect of the invention, if a user is creating a number of documents based on a particular topic, the user can set a summary policy to summarize frequently and then set the storage policy to back up files based on that topic, as read from the summary 170, on a more frequent basis. An option may be presented in a backup GUI for “Subject Matter” and the summarizer 160 may group summaries 170 under a common topic and present the subject matter as a backup parameter rule, just like file type, file size, etc.

Turing now to the summary agent 133. In one example, the summaries 170 that are generated may be based on the gestalt of the data file 10 and not search topic dependent. For example, if the data file 10 has a portion devoted to recipes and another on computer programming, the summary 170 reflects both topics, proportionally to their frequency/length in the data file 10. In one aspect, the summary may not be altered or truncated based on the search parameters. Thus, if a user searches for “recipe”, one example may be to return a summary 120 that is truncated or edited to display only the portion of the summary 120 that is relevant to the keyword. Alternately, the search engine may return the portion devoted to computer programming as well as the portion devoted to recipes. This allows the user to manually distinguish the data file 10 and not have a biased summary set.

FIG. 3 illustrates an example of a summary 370. The summary 370 has a summation portion 320 and may have an analysis portion 320. The summation portion 305 has the text of the summary and characters, words, or sentences may be displayed as and may be actively linked 300 to the underlying data file 310. A user reviewing the summary 370 can click on the link 300 and be taken to a derivative point 340 in the data file 310 where that portion of the summary 370 is derived from. The summarization analysis 320. The analysis 320 may provide the user with keywords 350, word use frequency (e.g. top ten words, excluding: and, the, him, her; etc.), number of times summarized, a delta comparison between the previous summary and the present summary and other statistical information about the summarization process.

Further, a user may set the output parameters of the summary 170. As noted above, a user may select a word/line/page limit for the summary 170, requiring the summarizer 160 to condense the description of the data file 10 to a specified level of detail. Further, the output length may even be device/client 85 dependent. A user may, in one aspect, set the summary to be no more than a page when the summaries are delivered to a desktop or laptop; and no more than 10 lines if delivered to a bile station, or “smart phone” (e.g. cell phone, iPhone, Blackberry), or via a particular method (e-mail, SMS/EMS/MMS message, etc.).

The summaries 170 may be generated in any file or style format. The summaries may be generated in the format of the original data file. For example if an e-mail (i.e. Outlook®) is the data file 10 that is summarized, the summary 170 may also be in e-mail format.

Alternately, some of or all of the summaries 170 may be in a standard format (e.g. a generic text format, a word processor format, database format, etc.). The summaries 170 may be printed separately from their underlying data file 10. In addition, some or all of the summaries 170 retrieved as the result of a search query may be placed in a single file for ease of saving for future review or printing. Any or all of these options can be user selected.

Further, the summaries 170 may be retrieved and reviewed outside the user's awareness (i.e. invisible to the user) during the normal course of file management. A user may access their document management system (DMS) and the a summary can be displayed in a window along side the file name, similar to a preview window in Outlook®. In this example, once a user highlights a particular file, in a file selection list, in another window, instead of the data file 10 being previewed in its entirety, the summary 170 may be present.

In further examples, FIG. 4 illustrates a method of summarizing data files. One step is to create the data file (step 400). The data file 310 may be typically created by a user on the client computer 85. Alternately, the method may be utilized on existing data files. Thus, in one aspect, creating the data file can be both creating a new data file or editing an existing data file. Here, the summarizer 160 can analyze and create the summary 370 (step 405) as the data file is being created. As noted above, the summary 370 can be created on the user computer 85.

A further aspect is to first implement a storage event (step 410). A storage event is at least one of a backup, a migration, a synchronization, or a restoration of the data file. Either prior to, during, or after the storage event, the data file may be analyzed and the summary created (step 405). The implementation of the storage event may be a scheduled event (step 415), which is based on any number of factors, for example a specified time, a user command, and a defined event. Thus, a storage event may be scheduled for, i.e. to occur at midnight every night, only when the user triggers the event, or only when the available memory in the main storage device is less than 20%.

As part of analyzing and creating the summary (step 405), the summarizer 160 may use a fuzzy method to create the summary 370. The fuzzy logic does not just truncate the data file 310, but creates a synthesis thereof. In summarizing the data file (step 420), the user can select the length of the summary 370. The length of the summary may be based on a number of words, sentences, paragraphs, and pages, a percentage of at least one of characters, words, sentences, or paragraphs in the data file or the device it is going to be distributed to for viewing. Another aspect of the summary 370 may be inserting links 300 into the summary (step 425), linking characters or text in the summary 370 to the characters or text in that data file that they were derived from, the derivation point 340. A further aspect may be presenting an analysis 330 of the data file 310 as part of the summary 370 (step 430). The analysis may present statistical information, keywords, word use frequency, and a comparison between a previous summary and the present summary 370.

Another example that may be further to implementing the storage event is to create a duplicate data file 180 (see, FIG. 1) containing at least one of the data file 370 or changes made to the data file (step 435). The duplication of the data file can occur either before or after the summary is created. The duplicate data file 180 and the summary 170 may be stored together on the same storage device 115, or on different storage devices. When the duplicate date file 180 and the summary 370 are stored together, they may be stored as separate files, or the summary can be appended to the header 210 or trailer 220 of the original or duplicate data file (step 440). If the duplicate data file 180 and the summary 370 are stored on separate storage devices 115, or on the same storage device 115 as separate files, the location of the summary 370 may be appended to the data file 370 (step 440). The location may be a network address, either to a LAN or WAN device, and appended using metadata. Regardless, of which storage device and in what format, the summary is stored (step 445).

Once summaries are created, they can be searched. FIG. 5 illustrates an example of aspects of searching using summaries. In one aspect, the server 150 or storage manager 100 on the server may receive a request to search the data file 310 for a keyword 350 (step 500). In one aspect, the data file 310 may be searched, in another, the summary may searched for the keyword (step 505). Once the keyword is identified (step 510), the summary of the data file that contained the keyword, or the summary with the keyword, may be returned to the requestor (step 515). The user requesting the search results may request, in addition to summary, to also receive the data file (step 520). This request can be a default so that the summary and data file are returned together, or may be an additional request after the summary is sent.

Other aspects of searching and the keywords 350 in the summary 370 may allow for advanced scheduling and display features. In one example, the storage events for a data file may be scheduled based on the keywords 350 in the data file 310 (step 525). A user may set a storage policy for data files containing certain key words different than the storage policy typically implemented. Thus, a user may perform storage events on data files containing important key words with more frequency or redundancy. In another aspect, the summary can be truncated based on the device it is being displayed on or transmitted to (step 530). For example, when the summary is transmitted to a device with a small screen, i.e. a mobile station, smart phone, or data tablet, the summary can be truncated to facilitate reading on the smaller screen. In contrast, if the summary is displayed on a larger screen, e.g. a 24″ monitor, the summary does not need to be truncated. It may also be displayer dependant, wherein sending a summary by e-mail may be truncated as opposed to if the summary is an attachment.

While the foregoing has described what are considered to be the best mode and/or other examples, it is understood that various modifications may be made therein and that the subject matter disclosed herein may be implemented in various forms and examples, and that the teachings may be applied in numerous applications, only some of which have been described herein. It is intended by the following claims to claim any and all applications, modifications and variations that fall within the true scope of the present teachings. 

What is claimed is:
 1. A method of summarizing data files, comprising the steps of: implementing, at a server, a storage event for a data file; analyzing the data file and creating a summary of the data file; and storing the summary linked to the data file.
 2. The method of claim 1, wherein the analyzing and creating step is performed at least one of prior to or during the implementing step.
 3. The method of claim 2, further comprising the step of receiving the data file at the server from a client over a network; and wherein the analyzing and creating step is performed on the client.
 4. The method of claim 3, further comprising the step of creating the data file; wherein the analyzing and creating step is performed as the data file is being created.
 5. The method of claim 1, wherein the storage event is at least one of a backup, a migration, a synchronization, or a restoration of the data file.
 6. The method of claim 1, further comprising the step of scheduling at least one of the implementing and the analyzing and creating steps, wherein the scheduling is based on at least one of a specified time, a user command, and a defined event.
 7. The method of claim 1, wherein the analyzing and creating step further comprises the step of summarizing the data file based on at least one of a number of words, a number of sentences, a number of paragraphs, a number of pages, or a percentage of at least one of characters, words, sentences, or paragraphs in the data file.
 8. The method of claim 1, wherein the analyzing and creating step further comprises the step of inserting at least one link into the summary linking a character in the summary to a character in the data file.
 9. The method of claim 1, wherein the analyzing and creating step further comprises the step of presenting an analysis of the data file as part of the summary, wherein the analysis determines at least one of keywords, word use frequency, and a comparison between a previous summary and the summary.
 10. The method of claim 1, wherein the implementing step further comprises the step of creating a duplicate data file containing at least one of the data file or changes made to the data file, wherein the summary is stored on a same memory device as the duplicate data file.
 11. The method of claim 10, further comprising the step of appending the summary into at least one of a header or a trailer of the duplicate data file.
 12. The method of claim 1, wherein the implementing step fu her comprises the steps of: creating a duplicate data file containing at least one of the data file or changes made to the data file, wherein the summary is stored on a separate memory device from the duplicate data, file; and appending a location of the summary to the duplicate data file.
 13. The method of claim 1, further comprising a steps of: receiving, at the server, a request to search the data file for a keyword; searching the data file for the keyword; identifying the keyword in the data file; and returning, to the requestor, the summary associated with the data file.
 14. The method of claim 13, further comprising the steps of: receiving, from the requestor, a request for the data file associated with the summary; and returning, to the requestor, the data file.
 15. The method of claim 1, further comprising the steps of: receiving, at the server, a request to search the data file for a keyword; searching the summary associated with the data file for the keyword; identifying the keyword in the summary; and returning, to the requestor, at least one of the summary and the data file.
 16. The method of claim 1, further comprising the steps of: searching the summary for a keyword; and scheduling the implementing step for the data file associated with the summary based on a schedule associated with the keyword.
 17. The method of claim 1, further comprising the steps of: searching at least one of the data file and the summary for a keyword; truncating the summary containing the keyword based on a displaying device; and displaying the truncated summary on the displaying device. 